Technology Sales Engineer - Data and AI - AI/MLOps (San Francisco)

Introduction

A Technology Sales Engineer role (what we internally call a, 'Brand Technical Specialist') within IBM's Data & AI brand for AI/MLOps means accelerating enterprises' success by improving their ability to understand their data. It means providing solutions that enable people across organizations, in multiple roles, the ability to turn data into actionable insights without having to wait for IT. And it means selling multi-award winning software, and world-class design practices that enables business analysts to ask new questions. The answers to which are literally shaping the future and changing the world.

Excellent onboarding and an industry leading learning culture will set you up for positive impact and success, whilst ongoing development will advance your career through an upward trajectory. Our sales environment is collaborative and experiential. Part of a team, you'll be surrounded by bright minds and keen co-creators - always willing to help and be helped - as you apply passion to work that will compel our clients to invest in IBM's products and services.

Your role and responsibilities

As a Brand Technical Specialist (BTS) for AI/MLOps you'll work closely with clients to develop relationships, understand their needs, earn their trust and show them how IBM's industry leading solutions will solve their problems whilst delivering value to their business.

Your primary responsibilities will include:

Product Demonstration: Creating client facing demos for the following products - watsonx.gov, watsonx.ai, OpenPages, Cloud Pak for Data, WCA for Ansible/Java, WCAz, Orchestrate SaaS

Client Strategy Design: Creating client strategies for Data & AI infrastructure.

Solution Definition: Defining IBM Data & AI solutions that enhance technology stacks.

Educational Support: Providing proof of concepts and simplifying complex topics to educate clients.

Credibility Building: Establishing credibility and trust to facilitate the closure of intricate deals.

Required technical and professional expertise

Business Goal Translation: Translating business goals into technical solutions through collaborative teamwork.

Stakeholder Influence: Utilizing strong interpersonal and communication skills to influence diverse senior stakeholders within enterprises.

Hands-on experience with the following products: watsonx.gov, watsonx.ai, OpenPages, Cloud Pak for Data, WCA for Ansible/Java, WCAz, Orchestrate SaaS

Two years or more client facing experience selling software solutions.

Preferred technical and professional experience

Data & AI Market Knowledge: Expertise in the Data & AI market to quickly become a trusted client advisor.

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.